scholarly journals Dynamics and forecasting of population growth and urban expansion in Srinagar City – A Geospatial Approach

Author(s):  
M. Farooq ◽  
M. Muslim

The urban areas of developing countries are densely populated and need the use of sophisticated monitoring systems, such as remote sensing and geographical information systems (GIS). The urban sprawl of a city is best understood by studying the dynamics of LULC change which can be easily generated by using sequential satellite images, required for the prediction of urban growth. Multivariate statistical techniques and regression models have been used to establish the relationship between the urban growth and its causative factors and for forecast of the population growth and urban expansion. In Srinagar city, one of the fastest growing metropolitan cities situated in Jammu and Kashmir State of India, sprawl is taking its toll on the natural resources at an alarming pace. The present study was carried over a period of 40 years (1971–2011), to understand the dynamics of spatial and temporal variability of urban sprawl. The results reveal that built-up area has increased by 585.08 % while as the population has increased by 214.75 %. The forecast showed an increase of 246.84 km<sup>2</sup> in built-up area which exceeds the overall carrying capacity of the city. The most common conversions were also evaluated.

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Mojtaba Eslahi ◽  
Rani El Meouche ◽  
Anne Ruas

<p><strong>Abstract.</strong> Many studies, using various modeling approaches and simulation tools have been made in the field of urban growth. A multitude of models, with common or specific features, has been developed to reconstruct the spatial occupation and changes in land use. However, today most of urban growth techniques just use the historical geographic data such as urban, road and excluded maps to simulate the prospective urban maps. In this paper, adding buildings and population data as urban fabric factors, we define different urban growth simulation scenarios. Each simulation corresponds to policies that are more or less restrictive of space considering what these territories can accommodate as a type of building and as a global population.</p><p>Among the urban growth modeling techniques, dynamic models, those based on Cellular Automata (CA) are the most common for their applications in urban areas. CA can be integrated with Geographical Information Systems (GIS) to have a high spatial resolution model with computational efficiency. The SLEUTH model is one of the cellular automata models, which match the dynamic simulation of urban expansion and could be adapted to morphological model of the urban configuration and fabric.</p><p>Using the SLEUTH model, this paper provides different simulations that correspond to different land priorities and constraints. We used common data (such as topographic, buildings and demography data) to improve the realism of each simulation and their adequacy with the real world. The findings allow having different images of the city of tomorrow to choose and reflect on urban policies.</p>


2021 ◽  
Vol 13 (21) ◽  
pp. 4423
Author(s):  
Sk Mithun ◽  
Mehebub Sahana ◽  
Subrata Chattopadhyay ◽  
Brian Alan Johnson ◽  
Khaled Mohamed Khedher ◽  
...  

The mass accumulation of population in the larger cities of India has led to accelerated and unprecedented peripheral urban expansion over the last few decades. This rapid peripheral growth is characterized by an uncontrolled, low density, fragmented and haphazard patchwork of development popularly known as urban sprawl. The Kolkata Metropolitan Area (KMA) has been one of the fastest-growing metropolitan areas in India and is experiencing rampant suburbanization and peripheral expansion. Hence, understanding urban growth and its dynamics in these rapidly changing environments is critical for city planners and resource managers. Furthermore, understanding urban expansion and urban growth patterns are essential for achieving inclusive and sustainable urbanization as defined by the United Nations in the Sustainable Development Goals (e.g., SDGs, 11.3). The present research attempts to quantify and model the urban growth dynamics of large and diverse metropolitan areas with a distinct methodology considering the case of KMA. In the study, land use and land cover (LULC) maps of KMA were prepared for three different years (i.e., for 1996, 2006, and 2016) through the classification of Landsat imagery using a support vector machine (SVM) classification approach. Then, change detection analysis, landscape metrics, a concentric zone approach, and Shannon’s entropy approach were applied for spatiotemporal assessment and quantification of urban growth in KMA. The achieved classification accuracies were found to be 89.75%, 92.00%, and 92.75%, with corresponding Kappa values of 0.879, 0.904, and 0.912 for 1996, 2006, and 2016, respectively. It is concluded that KMA has been experiencing typical urban sprawl. The peri-urban areas (i.e., KMA-rural) are growing rapidly, and are characterized by leapfrogging and fragmented built-up area development, compared to the central KMA (i.e., KMA-urban), which has become more compact in recent years.


2021 ◽  
Vol 7 (4) ◽  
pp. 623-636
Author(s):  
Can Kara ◽  
◽  
Nuhcan Akçit ◽  

<abstract> <p>The Urban growth in Trikomo (Yeni İskele) region in Cyprus has dramatically increased recently. The unorganized and uncontrolled development process has started to consume land resources; loss of landcover, valuable agricultural lands, and change of wetlands of stream beds or ponds occurred. In addition, partial and fragmented housing development projects bring only housing and second housing to the coastal region. As a result, environmental and economic problems occurred in sustainable urban growth (SUG) in the Trikomo (Yeni İskele) region. Due to the lack of planning instruments in Trikomo, urban expansion policies and alternatives have been ignored. In this regard, this research tries to investigate spatial SUG and expansion alternatives by using Multi-Criteria Evaluation (MCE) and fuzzy logic within geographical information systems (GIS). Compact growth, environmental protection, and equal accessibility to local services were used for multi-criteria analysis to construct spatial SUG problems. Then they were converted to spatial layers within the (GIS) environment. Results show that; 6 percent of the study area is in a shallow suitability zone. Forty-four percent of it has very low and low suitability for SUG. Also, 41 percent of the area is suitable. Only 12 percent of the area has high and very high suitability values. These findings showed that approximately 118 square kilometers (56 percent) of the city is within the same level appropriate for urban development.</p> </abstract>


2021 ◽  
Vol 13 (3) ◽  
pp. 512
Author(s):  
Jairo Alejandro Gómez ◽  
ChengHe Guan ◽  
Pratyush Tripathy ◽  
Juan Carlos Duque ◽  
Santiago Passos ◽  
...  

With the availability of computational resources, geographical information systems, and remote sensing data, urban growth modeling has become a viable tool for predicting urbanization of cities and towns, regions, and nations around the world. This information allows policy makers, urban planners, environmental and civil organizations to make investments, design infrastructure, extend public utility networks, plan housing solutions, and mitigate adverse environmental impacts. Despite its importance, urban growth models often discard the spatiotemporal uncertainties in their prediction estimates. In this paper, we analyzed the uncertainty in the urban land predictions by comparing the outcomes of two different growth models, one based on a widely applied cellular automata model known as the SLEUTH CA and the other one based on a previously published machine learning framework. We selected these two models because they are complementary, the first is based on human knowledge and pre-defined and understandable policies while the second is more data-driven and might be less influenced by any a priori knowledge or bias. To test our methodology, we chose the cities of Jiaxing and Lishui in China because they are representative of new town planning policies and have different characteristics in terms of land extension, geographical conditions, growth rates, and economic drivers. We focused on the spatiotemporal uncertainty, understood as the inherent doubt in the predictions of where and when will a piece of land become urban, using the concepts of certainty area in space and certainty area in time. The proposed analyses in this paper aim to contribute to better urban planning exercises, and they can be extended to other cities worldwide.


2020 ◽  
Vol 13 (1) ◽  
pp. 423
Author(s):  
Rudá Peixoto Teles ◽  
Maria Lucineide Gomes da Silva ◽  
Antonio Junior Alves Ribeiro

Na região Nordeste do Brasil existe uma gama de aglomerações urbanas, dentre as quais se destaca a conurbação urbana, conhecida como Crajubar, localizada na Região Metropolitana do Cariri (RMC), no sul do Ceará, onde existe uma percepção de ausência de limites urbanos entre os três municípios: Crato, Juazeiro do Norte e Barbalha. Assim, este trabalho busca compreender a dinâmica da expansão do Crajubar, por meio de técnicas de Geoprocessamento. Para tanto, utilizou-se arquivos vetoriais da delimitação territorial com mancha urbana do ano de 2005 e imagens orbitais dos satélites GeoEye do ano de 2018. Para o processamento dos dados foi utilizado o software QGIS. O Google Earth foi usado para identificar estabelecimentos responsáveis por atraírem crescimento urbano para o seu entorno, ainda foram utilizadas informações oficiais de crescimento populacional e informações econômicas geradas pelos órgãos oficiais. Como resultados, geraram-se arquivos vetoriais com duas manchas urbanas da região, sendo uma de 2005 e outra de 2018, as quais apresentam a conurbação dos três municípios para as duas situações. A partir do mapa gerado, construiu-se o entendimento dos fatores que impulsionam a expansão espacial urbana do Crajubar, tais como serviços públicos nas áreas de infraestrutura, saúde e educação. Evaluation of expansion of Crajubar urban agglomerate using geomatics A B S T R A C TIn the Northeast region of Brazil there is a range of urban agglomerations, among which the urban conurbation known as Crajubar. It is located in the metropolitan area of Cariri (MAC), in the south of Ceará, where there is a perception of the absence of urban boundaries between the three towns: Crato, Juazeiro do Norte and Barbalha. This work tries to understand the dynamics of the expansion of Crajubar, using Geoprocessing techniques. It was used shapefiles of the territorial delimitation with urban area of the year of 2005 and GeoEye satellites images of the year of 2018. The QGIS software was used for data processing. The Google Earth was used to identify companies and institutions responsible for attracting urban growth for the around their area, official information on population growth and economic information generated by government institutions was also used. As a result, shapefiles were generated with two urban areas in the region, one of area in 2005 and another area in 2018, where each one presents the conurbation of the three towns for both situations. From the generated map, the understanding of the factors that have influenced the urban spatial expansion of Crajubar was constructed, such as public services of infrastructure, health and education.Keywords: Urbanization, Population Growth, Geoprocessing.


2021 ◽  
Author(s):  
Alireza Mohammadi ◽  
Abolfazl Mollalo ◽  
Robert Bergquist ◽  
Behzad Kiani

Abstract Background: Limited studies have been conducted on access to COVID-19 vaccines and identifying the most appropriate health centres for performing vaccination in metropolitan areas. This study aimed to measure potential spatial access to COVID-19 vaccination centres in Mashhad, the second-most populous city in Iran.Methods: The age structure of the urban census tracts was integrated into the enhanced two-step floating catchment area model to improve accuracy. The model was developed based on three different scenarios: only public hospitals, only public healthcare centres, and the top 20% healthcare centres were employed as potential vaccination facilities. The weighted decision-matrix and analytic hierarchy process based on four criteria (i.e. service area, accessibility index, capacity of vaccination centres, and distance to main roads) were used to choose potential vaccination centres with the highest suitability for residents.Results: Our findings indicate that including the both public hospitals and public healthcare centres can provide high accessibility to vaccination in central parts of the urban areas. However, using only public healthcare centres for vaccination can provide higher accessibility to vaccination sites in the eastern and north-eastern parts of the study area. Therefore, a combination of public hospitals and public healthcare centres is recommended for efficient vaccination coverage.Conclusions: Measuring spatial access to COVID-19 vaccination centres can provide valuable insights for urban public health decision-makers. Our model, coupled with geographical information systems (GIS), provides more efficient vaccination coverage by identifying the most suitable healthcare centres, which is of special importance when only few centres are available.


2021 ◽  
Vol 8 (3) ◽  
pp. 618-644
Author(s):  
Hoshmand Jawhar Abbas ◽  
Sanger Ahmed Hussein ◽  
Fatimah Qader Mustafa

 The impact of the recreational services that exist within the group of services that are practiced within the geographical framework of the city, is not limited to the lives of its residents and their activities, but also on the residents of the surrounding areas. Recreational services contribute to providing diversified investment opportunities for leisure time, so that they are appropriate and beneficial to the health, comfort and well-being of the population at the lowest possible cost, without the goal of their establishment being financial gain, as they lead to the creation of mental, psychological and physical balance on the level of one individual and on the basis of society in a way. In general, recreational services are an integral part of urban activities in most cities of the world. Rather, the concept of modernity and urbanization in contemporary urban centers is measured to some extent by the availability of recreational facilities for their inhabitants, and the study also showed the low level of efficiency of recreational services in terms of their spatial distribution and numbers. As it is concentrated in some neighborhoods of the city, while it is less or absent in other neighborhoods, as well as not taking into account the planning standards in its distribution and during its construction in line with the population increase, urban expansion and the residents' needs for these services. The success in providing these different types of recreational facilities depends on how they are distributed geographically. The balanced distribution of these activities determines the success of the adopted plans in achieving the required goals and policies.


2019 ◽  
pp. 1372-1382
Author(s):  
Cihan Uysal ◽  
Derya Maktav

Urbanization has been increasingly continuing in Turkey and in the world for the last 30 years. Especially for the developing countries, urbanization is a necessary fact for the sustainability of the urban growth. Yet, this growth should be controlled and planned; otherwise, many environmental problems might occur. Therefore, the urban areas having dynamic structure should be monitored periodically. Monitoring the changes in urban environment can be provided with land cover land use (LCLU) maps produced by the pixel based classification methods using ‘maximum likelihood' and ‘isodata' techniques. However, these thematic maps might bring about inaccurate classification results in heterogeneous areas especially where low spatial resolution satellite data is used since, in these approaches, each pixel is represented with only one class value. In this study, considering the spectral mixture analysis (SMA) each pixel is represented by endmember fractions. The earth is represented more accurately using 'substrate (S)', ‘green vegetation (V)' and ‘dark surfaces (D)' spectral endmember reflectances with this analysis based on linear mixture model. Here, the surrounding of Izmit Gulf, one of the most industrialized areas of Turkey, has been chosen as the study area. SMA has been applied to LANDSAT images of the years of 1984, 1999 and 2009. In addition, DMSP-OLS data of 1992, 1999 and 2009 has been used to detect urban areas. According to the results, the changes in LCLU and especially the urban growth areas have been detected accurately using the SMA method.


2010 ◽  
Vol 1 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Hyun Joong Kim

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover changes in small urban areas are not fully examined by the current GIS-based modeling studies or simulation applications, the major objective of this research is to identify and examine the spatial and temporal dynamics of land use changes of urban growth at a local scale. Analytical results demonstrate that sizes, locations, and shapes of new developments are spatio-temporally associated with their landscape variations and major transportation arteries. The key findings from this study contribute to GIS-based urban growth modeling studies and urban planning practices for local communities.


2016 ◽  
Vol 9 (1) ◽  
pp. 1-11 ◽  
Author(s):  
A Kuchay Nissar ◽  
Sultan Bhat M ◽  
Shafi Nuzhat

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